The gener... Detecting multiple license plate numbers in crowded street scenes is challenging and requires the attention of researchers. A deep learning approach for Parkinson's disease diagnosis from EEG signals. Home Dr. Raghavendra Sagar M.Sc., PhD. Jen Hong Tan, Sulatha V Bhandary, Sobha Sivaprasad, Yuki Hagiwara, Akanksha Bagchi. Local Texture Patterns for Traffic Sign Recognition using Higher Order Spectra. ÄcÄrya ). In this paper, we investigate a novel and challenging problem to verify a subject (or user) based on the ear characteristics after undergoing ear surgery. 16% Off. The morphed face attack involves two different face images obtained via morphing to attack/cir-cumvent face image similar to both original face images used for... Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. Hit him up for song suggestions and tips on how to score the ladiezzzz. Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image. This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI segmentation, quality analysis, cross domain matching, gender classification etc. Discuss Edgar Allan Poe's The Raven 2. Check the resources here. Since humans will express the deception through non-verbal behavior that can be recorded in a non-intrusive manner, the deception detection from video using automatic techniques can be devised. In this work, we present a new multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. Gender transformation therapy induces changes to face on both for structural and textural features. The goal of a morphing att... Morphing attacks have posed a severe threat to Face Recognition System (FRS). Scheme of evaluation. In recent years, we have seen huge growth of biometric systems incorporated in devices such as smartphones and security is one of the major concerns. The proposed multi-spectral iris sensor consists of three main parts: (a) Image capture unit (2) Illumination unit and (3) Con... Fingerprint recognition on smartphone provides a good alternative over traditional security measures such as lock-patterns and pin. 10 Comments 14 Likes Statistics Notes Full Name. Shree Raghavendra Swamy 342nd Aradhana Mahotsava - Souvenir 2013. Fake Face Detection Methods: Can They Be Generalized? In this paper, we present a new approach for attack detection in multi-spec... Verification of newborn babies utilizing the biometric characteristics has received an increased attention, especially in applications such as law enforcement, vaccination tracking, and medical services. The exponential deployment of face recognition systems has been further challenged even by the simple and low-cost face artefacts generated using conventional printers. PEER REVIEWED PUBLICATIONS Joel En Wei Koh, U Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U Rajendra Acharya. The vulnerability of face recognition systems is a growing concern that has drawn the interest from both academic and research communities. This paper presents a novel multispectral palmprint recognition system consisting of three functional blocks namely: (1) novel technique to extract Region of Interest (ROI) from the hand images acquired using a contact le... Wrist-wearable devices such as smartwatch hardware have gained popularity as they provide quick access to various information and easy access to multiple applications. Google is postponing the enforcement of its new Play Store billing rule in India to April 2022, days after more than 150 startups in the worldâs second largest internet market forged an informal coalition to express concerns over the 30% charge the Android-maker plans to mandate on its store and started to explore an alternative marketplace for their apps. The primary objective of face morphing is to combine face images of different data subjects (e.g. We seem to be keen on improving only our core slides all the time and not the appendix. Only verified researchers can join ResearchGate and send messages to other members. However, as biometric solutions are extensively deployed, it will be common to replace acquisition hardware as it is damage... We first, introduce a deep learning based framework named as DeepIrisNet2 for visible spectrum and NIR Iris representation. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Computers in Biology and Medicine, Elsevier, vol. Sitemap. Along with the deployment of the Face Recognition Systems (FRS), it has also raised concerns related to the vulnerability of those systems towards various attacks including morphed attacks. The existing databases, mostly of semi-... Fingerprint recognition systems are widely deployed in various real-life applications as they have achieved high accuracy. The Official Youtube Channel of Legendary Tollywood Director K Raghavendra Rao. Recent Advances in Biometric Technology for Mobile Devices, Biometric Transaction Authentication using Smartphones, Subjective Logic Based Score Level Fusion: Combining Faces and Fingerprints, Towards Protected and Cancelable Multi-Spectral Face Templates Using Feature Fusion and Kernalized Hashing, Fusion of Multi-Scale Local Phase Quantization Features for Face Presentation Attack Detection, Manifold-Structure Preserving Biometric Templates - A Preliminary Study On Fully Cancelable Smartphone Biometric Templates, Improved Ear Verification After Surgery-An Approach Based on Collaborative Representation of Locally Competitive Features, Transgender Face Recognition with Off-the-shelf Pre-trained CNNs: A Comprehensive Study, Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures, A Taxonomy of Audiovisual Fake Multimedia Content Creation Technology, Verifying the Newborns without Infection Risks Using Contactless Palmprints, Fingervein Presentation Attack Detection Using Transferable Features from Deep Convolution Neural Networks, Multi-spectral Imaging for Robust Ocular Biometrics, Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper, Multi-Biometric Template Protection -A Security Analysis of Binarized Statistical Features for Bloom Filters on Smartphones, Automated Authentication of Audiovisual Contents. The vulnerability of face recognition systems towards evolving presentation attacks has drawn significant interest in the last decade. In this work, we present an introductory study on exploring contactless palmprint biometric for the verification of new-borns. The recorded videos contain various information such as temporal variations of the face, linguistics and acoustics, which can be used together, to detect deception automatically. of Instrumentation & Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India E-mail: raghavendra[dot]u[at]manipal[dot]edu 7K ... Publications eBooks Images Classifieds Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions. The widely used applications include border control, automated teller machine (ATM), and attendance monitoring systems. U. Rajendra Acharya, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao.. U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, Anjan Gudigar, B N Jagadale, Mahesh P K and. Despite the availability of a broad range of face Presentation Attack Detection (PAD) (or countermeasure or anti-spoofing) schemes, there exists no superior PAD technique due to evolution of sophisticated prese... Face recognition has received a substantial attention from industry and also academics. Comment goes here. In this paper, we present a new and robust approach for detecting presentation attacks on finger-vein biometric systems exploiting the 3D Shape (normal-map) and material properties (diffuse-map) of the finger. Raghavendra Palatil, --Follow Published on Mar 1, 2011. -- Vulnerability and Detection, Fusing Iris and Periocular Region for User Verification in Head Mounted Displays, Collaborative representation of blur invariant deep sparse features for periocular recognition from smartphones, Single Image Face Morphing Attack Detection Using Ensemble of Features, Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking, TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network, Thermal Image Super-Resolution Challenge - PBVS 2020, Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network, A Survey on Unknown Presentation Attack Detection for Fingerprint, Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? Although fingerprint systems are easy to use, they are susceptible to presentation attacks that can be carried out by employing lifted or latent fingerprints. The primary objective of face morphing is to combine face images of different data subjects (e.g. LESSON PLAN - Class 7 ENGLISH (TS) 84.00 99.00 Add to Cart View. Structural Similarity Based Ranking of Stereo Algorithms for Dynamic Adaptation in Real-Time Robot Navigation. Biometric for the characterization of thyroid nodules in Ultrasound images Intelligence techniques for automated and., Sobha Sivaprasad, Yuki Hagiwara, Akanksha Bagchi energy spectrum with Fundus images,! Both biometric and forensic scenarios palmprint is considered as an effective biometric modality that has significant! Mellitus Mother using Ultrasound Fetal Cardiac image and binarized statistical image features ( BSIF ) involve or., only current members can send messages to other members GPU has been further challenged even by simple... 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